Research Engineer (PhD Student, f/m/d) Advanced Tribological Simulation of the Piston/Ring/Liner System
Job description
We are looking for a motivated and innovative PhD student to investigate and model the behavior of the tribological system piston/ring/liner and to build up in-depth knowledge of wear and friction on piston, liner as well as on the ring pack for various materials, coatings and lubricants.
The works objective is to calibrate and validate a tribological software tool for simulation and analysis of the piston/ring/liner system in order to predict friction, blowby, lube oil consumption under different operating conditions and different material pairings. By prediction of the tribological behavior, the robustness and reliability of the system shall be optimized.
The scientific outcome should be an improved understanding of tribological behavior and knowledge about the potential and limitations of simulation approaches for the optimization of tribological systems. Furthermore, the integration of data-driven methods to develop hybrid models, e.g., for wear prediction, should be evaluated.
Research Engineer (PhD Student)
We are looking for a motivated and innovative PhD student to investigate and model the behavior of the tribological system piston/ring/liner and to build up in-depth knowledge of wear and friction on piston, liner as well as on the ring pack for various materials, coatings and lubricants.
The works objective is to calibrate and validate a tribological software tool for simulation and analysis of the piston/ring/liner system in order to predict friction, blowby, lube oil consumption under different operating conditions and different material pairings. By prediction of the tribological behavior, the robustness and reliability of the system shall be optimized.
The scientific outcome should be an improved understanding of tribological behavior and knowledge about the potential and limitations of simulation approaches for the optimization of tribological systems. Furthermore, the integration of data-driven methods to develop hybrid models, e.g., for wear prediction, should be evaluated.
Research Engineer (PhD Student)
The LEC supports equal opportunity and diversity. We are looking for committed and motivated individuals with a talent for research. Become part of our successful LEC team! We look forward to your application.
We are looking forward to your application!
Contact: Martina Lukic
Email: career@lec.tugraz.at